Princeton LLM Forum

Interdisciplinary conversations about the impact of LMMs on culture and society

The Princeton LLM Forum ran during the 2023-24 academic year and fostered broad-reaching conversations about the implications of large language models (LLMs) on our understanding of language, society, culture, and theory of mind. Leading scholars from a range of disciplines and backgrounds, from literature to politics to data science, were invited to speak on the following topics:

Society: Meredith Whittaker (President of Signal) and respondent Arvind Narayanan (Computer Science; Center for Information Technology Policy)
Culture: Wai Chee Dimock (American Studies and English, Yale University) and respondent Meredith Martin (English; Center for Digital Humanities)
Models: Simon DeDeo (Cognitive Science, Carnegie Mellon University) and respondent Arthur Spirling (Politics)
Understanding: Tal Linzen (Associate Professor of Linguistics and Data Science, New York University) and respondent Tania Lombrozo (Psychology; Program in Cognitive Science)
Cultural Analytics: David Bamman (School of Information, UC Berkeley)

A related reading group was co-led by Princeton graduate students on AI and Labor, Literature, Industry, and Understanding.

The LLM forum was co-organized with the Department of Computer Science and supported by the Humanities Council.